A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid Technique

A novel polar fuzzy (PF) control approach for a hybrid power system is proposed in this research. The proposed control scheme remedies the issues of system frequency and the continuity of demand supply caused by renewable sources’ uncertainties. The hybrid power system consists of a wind turbine gen...

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Main Authors: Mohammed Elsayed Lotfy, Tomonobu Senjyu, Mohammed Abdel-Fattah Farahat, Amal Farouq Abdel-Gawad, Hidehito Matayoshi
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/10/8/1083
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author Mohammed Elsayed Lotfy
Tomonobu Senjyu
Mohammed Abdel-Fattah Farahat
Amal Farouq Abdel-Gawad
Hidehito Matayoshi
author_facet Mohammed Elsayed Lotfy
Tomonobu Senjyu
Mohammed Abdel-Fattah Farahat
Amal Farouq Abdel-Gawad
Hidehito Matayoshi
author_sort Mohammed Elsayed Lotfy
collection DOAJ
description A novel polar fuzzy (PF) control approach for a hybrid power system is proposed in this research. The proposed control scheme remedies the issues of system frequency and the continuity of demand supply caused by renewable sources’ uncertainties. The hybrid power system consists of a wind turbine generator (WTG), solar photovoltaics (PV), a solar thermal power generator (STPG), a diesel engine generator (DEG), an aqua-electrolyzer (AE), an ultra-capacitor (UC), a fuel-cell (FC), and a flywheel (FW). Furthermore, due to the high cost of the battery energy storage system (BESS), a new idea of vehicle-to-grid (V2G) control is applied to use the battery of the electric vehicle (EV) as equivalent to large-scale energy storage units instead of small batteries to improve the frequency stability of the system. In addition, EV customers’ convenience is taken into account. A minimal-order observer is used to estimate the supply error. Then, the area control error (ACE) signal is calculated in terms of the estimated supply error and the frequency deviation. ACE is considered in the frequency domain. Two PF approaches are utilized in the intended system. The mission of each controller is to mitigate one frequency component of ACE. The responsibility for ACE compensation is shared among all parts of the system according to their speed of response. The performance of the proposed control scheme is compared to the conventional fuzzy logic control (FLC). The effectiveness and robustness of the proposed control technique are verified by numerical simulations under various scenarios.
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spelling doaj.art-77c5beca50e645d6818f009debdf34cd2022-12-22T03:59:12ZengMDPI AGEnergies1996-10732017-07-01108108310.3390/en10081083en10081083A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid TechniqueMohammed Elsayed Lotfy0Tomonobu Senjyu1Mohammed Abdel-Fattah Farahat2Amal Farouq Abdel-Gawad3Hidehito Matayoshi4Department of Electrical Power and Machines, Zagazig University, Zagazig 44519, EgyptDepartment of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, JapanDepartment of Electrical Power and Machines, Zagazig University, Zagazig 44519, EgyptDepartment of Electrical Power and Machines, Zagazig University, Zagazig 44519, EgyptDepartment of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, JapanA novel polar fuzzy (PF) control approach for a hybrid power system is proposed in this research. The proposed control scheme remedies the issues of system frequency and the continuity of demand supply caused by renewable sources’ uncertainties. The hybrid power system consists of a wind turbine generator (WTG), solar photovoltaics (PV), a solar thermal power generator (STPG), a diesel engine generator (DEG), an aqua-electrolyzer (AE), an ultra-capacitor (UC), a fuel-cell (FC), and a flywheel (FW). Furthermore, due to the high cost of the battery energy storage system (BESS), a new idea of vehicle-to-grid (V2G) control is applied to use the battery of the electric vehicle (EV) as equivalent to large-scale energy storage units instead of small batteries to improve the frequency stability of the system. In addition, EV customers’ convenience is taken into account. A minimal-order observer is used to estimate the supply error. Then, the area control error (ACE) signal is calculated in terms of the estimated supply error and the frequency deviation. ACE is considered in the frequency domain. Two PF approaches are utilized in the intended system. The mission of each controller is to mitigate one frequency component of ACE. The responsibility for ACE compensation is shared among all parts of the system according to their speed of response. The performance of the proposed control scheme is compared to the conventional fuzzy logic control (FLC). The effectiveness and robustness of the proposed control technique are verified by numerical simulations under various scenarios.https://www.mdpi.com/1996-1073/10/8/1083hybrid power systemsupply balancefrequency controlV2Gpolar fuzzyminimal-order observer
spellingShingle Mohammed Elsayed Lotfy
Tomonobu Senjyu
Mohammed Abdel-Fattah Farahat
Amal Farouq Abdel-Gawad
Hidehito Matayoshi
A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid Technique
Energies
hybrid power system
supply balance
frequency control
V2G
polar fuzzy
minimal-order observer
title A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid Technique
title_full A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid Technique
title_fullStr A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid Technique
title_full_unstemmed A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid Technique
title_short A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid Technique
title_sort polar fuzzy control scheme for hybrid power system using vehicle to grid technique
topic hybrid power system
supply balance
frequency control
V2G
polar fuzzy
minimal-order observer
url https://www.mdpi.com/1996-1073/10/8/1083
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